Data science with Python

Last Update April 1, 2021
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About This Course

Are you ready to start your path to becoming a Data Scientist! 
This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create
beautiful visualizations, and use powerful machine learning algorithms.
With origination as an open-source scripting language, Python usage has grown over time. Today, it sports
libraries (numpy, scipy and matplotlib) and functions for almost any statistical operation/model building you may
want to do. Since the introduction of pandas, it has become very strong in operations on structured data.
Python is known for its simplicity in the programming world. This remains true for data analysis as well, While there are no widespread GUI interfaces as of now.
Due to its open nature, Python gets the latest features quickly. Python is a better option for start-ups and companies looking for cost efficiency. Python has had great advancements in the field of deep learning support and has numerous packages like Tensorflow and Keras. Python is used widely in web development.
Also, the number of jobs on Python has been reported to increase over the last few years.

Learning Objectives

There is a wide range of job roles offered in this domain. Professionals are seeking data analytics training to fit
into the below set of job roles.
The following are the major responsibilities of a data analyst.
Data Architect
Applications Architect
Infrastructure Architect
Enterprise Architect
Data Scientist
Data Analyst
Data Engineer

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